Observation List
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/?format=api&offset=9400
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9500", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9300", "results": [ { "ob_id": 41502, "uuid": "d174d45cae2745f9af08ab078aade0f2", "title": "Ozone Abundance Data from Model 49i Ozone Analyzer Instrument at the Birmingham Air Quality Site, 2019 onwards", "abstract": "Mass Fraction of Ozone (O3) in air measured at 2 metres above ground level by a Thermo Model 49i Ozone Analyzer Instrument at the Birmingham Air Quality Site (MAQS) for the Integrated Research Observation System for Clean Air (OSCA) project.", "keywords": "OSCA, air quality, supersite, O3,baqs,OSCA-AQ", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "monthly", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41503/?format=api", "dataPath": "/badc/osca/data/birmingham/OSCA_BAQS_Thermol_49i_O3/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 121709696, "numberOfFiles": 91, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11572/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3610/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74436/?format=api" ], "dataLineage": "Data are collected by the project team and transfered directly from the instrument to the computer database, before being transferred to the general database, where it is processed, averaged over minute time intervals and flagged where data is suspect. Once complete, data are uploaded to CEDA for archiving.\r\nData processing software found in: https://github.com/ncasuk/AMF_CVs/releases/tag/v1.0.0", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37963/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202260/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/41504/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41507, "uuid": "b32f09c9aeba44d1846e6de9423e9895", "title": "Ozone Abundance Data from Teledyne T400 Instrument at London Honor Oak Park Air Quality Supersite", "abstract": "Mass Fraction of Ozone (O3) in air measured at 5 metres above ground level by a Teledyne T400 Ozone Analyzer Instrument at the London Honor Oak Park Air Quality Site (LHOP) for the Integrated Research Observation System for Clean Air (OSCA) project, 2019 onwards.", "keywords": "OSCA,O3,LHOP, LAQS,London", "publicationState": "published", "dataPublishedTime": "2024-03-05T10:27:20", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41530/?format=api", "dataPath": "/badc/osca/data/london/OSCA_LHOP_Teledyne_T400", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35389815, "numberOfFiles": 49, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11573/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3866/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74173/?format=api" ], "dataLineage": "Data is saved directly from the instrument to the computer, before being transferred to the general database, where it is processed, automatically averaged over minute time intervals and flagged where data is suspect. Once complete, data is uploaded to CEDA for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202275/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/41508/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41511, "uuid": "16cfebcfd225477cad0447ee2b6a3b64", "title": "FAAM C364 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft", "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project.", "keywords": "Instrument, FAAM, airborne, atmospheric measurments", "publicationState": "published", "dataPublishedTime": "2024-02-29T13:41:15", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41510/?format=api", "dataPath": "/badc/faam/data/2024/c364-jan-09", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4911549324, "numberOfFiles": 30, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11574/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4156/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50950/?format=api", 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"dataLineage": "Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12946/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5782/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202331/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/41522/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41525, "uuid": "4ed5b3ce664f4da0adf20bda0affd1cb", "title": "Delta development thresholds simulation input and output files", "abstract": "The simulations in this dataset were designed to explore the potential limiting effects of wave height and tidal range on delta formation, with results demonstrating that large enough combinations of these processes may prevent deltas from forming. Simulations use the open source model Delft3D. The simulations model an idealised coast (19.75 km alongshore by 9 km cross-shore) and river (width 250 m by length 50 km) with constant discharge of water (1280 m3 s-1) and sediment (128 kg s-1), and with various combinations of significant wave height (up to 2 m) and tidal range (up to 6 m). Data outputs include velocities, depths, sediment concentrations, and wave conditions, amongst others. Simulations represent either 36 or 72 years of morphological development.", "keywords": "Delft3D,Numerical modelling,Coastal,Waves,Tides", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11577/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "Model setup files were generated using a combination of the Delft3D UI and associated programs, text editors, and MATLAB scripts.\r\nModel output files were generated by running simulations using either standalone Delft3D-FLOW, or coupled Delft3D-FLOW and Delft3D-WAVE.\r\nModel animations were produced using MATLAB scripts.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41526/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202349/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/41527/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41529, "uuid": "44a0f04f9b37423e8534cc96a8cbe990", "title": "Daily Transects and Areas from Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (April-December 2019).", "abstract": "This dataset contains 236 transects and areas point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). Included are subsets of these point-clouds, named transects and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. The shapefiles of the transects and areas are also included for a more complete description. ScanLAB Projects Ltd were responsible for the collection of the data, along with the British Geological Survey (BGS), funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project).", "keywords": "", "publicationState": "", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41528/?format=api", "dataPath": "/bodc/bgs240024", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1850132400594, "numberOfFiles": 14886, "fileFormat": null }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11578/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4153/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. 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Australian wildfires cause the largest stratospheric warming since Pinatubo and extends the lifetime of the Antarctic ozone hole. Sci Rep 12, 12665 (2022). https://doi.org/10.1038/s41598-022-15794-3\r\n\r\nAs part of the SASSO project researchers collaborated with the Met Office and used the UK Earth System Model (UKESM1) to investigate the impact of the intense wildfires and resulting smoke injections in the stratosphere. The work concluded that: Australian wildfires cause the largest stratospheric warming since Pinatubo and extended the lifetime of the Antarctic ozone hole. Data provided here is from the UKESM1 simulations used in those investigations.\r\n\r\nSpecifically the data consists of zonal mean air temperature (T) and horizonal wind (U) as monthly means. These are monthly means from a single year, since the simulations in the study ran just for a one year. In the dataset there are 3 groups of simulations, each with its own folder: \"aerosol_and_ozone\", \"aerosol_only\" and \"ozone_only\". In each group there are 10 simulations making up a 10 member ensemble. The zonal means are the average across all longitudes (-180 to 180).", "keywords": "Aerosol, ozone, stratosphere, model, wildfire, SASSO", "publicationState": "published", "dataPublishedTime": "2024-09-04T13:47:45", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41630/?format=api", "dataPath": "/badc/deposited2024/SASSO/SASSO_UMDATA_JOHNSON_DAMANY-PE", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19195756, "numberOfFiles": 241, "fileFormat": "Files are Net-CDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11579/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4583/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70293/?format=api" ], "dataLineage": "Met Office Unified Model version 11.1\r\n\r\nUKESM1 UKESM – The UK Earth System Modelling project [ukesm.ac.uk],\r\n\r\nUKESM1: Description and Evaluation of the U.K. Earth System Model [agupubs.onlinelibrary.wiley.com]", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/38101/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202379/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43071/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41533, "uuid": "7545a606606c4e9bb6139dfc21a95264", "title": "Andes glaciers and ice caps outlines during the Little Ice Age (LIA)", "abstract": "This dataset comprises a shapefile of >5500 outlines of glaciers and ice caps during the Little Ice Age (LIA) approximately 1400 to 1850, spanning across the Andes from the equator to -60 degrees South. These outlines have been manually digitised by reshaping Randolph Glacier Inventory version 6 (RGI_v6) (https://doi.org/10.7265/4m1f-gd79) outlines to the extent interpreted to best represent the LIA. The LIA extent was deduced manually-visually by interpreting geomorphological evidence; primarily moraine crests and trimlines, within high-resolution aerial imagery; primarily WorldView and GeoEye. More methodological details and usage of this dataset for analysis of glacier area changes from the LIA to post year 2000 are presented in the parent paper: Carrivick et al., 2024. Accelerating glacier area loss across the Andes since the Little Ice Age. Geophysical Research Letters (submitted).", "keywords": "glaciers,ice caps,Andes,Little Ice Age", "publicationState": "citable", "dataPublishedTime": "2024-06-21T13:07:15", "doiPublishedTime": "2024-06-21T13:08:43", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42329/?format=api", "dataPath": "/badc/deposited2024/Andes_GICs_LIA", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 81728184, "numberOfFiles": 9, "fileFormat": "Shape Files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11580/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4162/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by Jonathan Carrivick and the Deplete and Retreat NERC Highlights project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13141/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41534/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204347/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43008/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41535, "uuid": "95aa41439d564756950f89921b6ef215", "title": "Deep-Time Model Intercomparison Project (DeepMIP) Eocene model data version 1.0", "abstract": "This dataset contains output from 35 climate model simulations of the warm early Eocene Climatic Optimum (EECO; ∼ 50 million years ago) and corresponding preindustrial reference experiments. The dataset combines global model output from nine coupled climate models (CESM1.2-CAM5, COSMOS-landveg-r2413, GFDL-CM2.1, HadCM3B-M2.1aN, HadCM3BL-M2.1aN, INM-CM4-8, IPSLCM5A2, MIROC4m and NorESM1-F) that have carried out coordinated simulations as part of the Deep-Time Model Intercomparison Project (DeepMIP). Climatological means and time series data of the respective last 100 model years for a total of 57 atmospheric and oceanic variables are standardised following the CMIP6 data request and CF metadata convention.", "keywords": "climate modelling,paleoclimate,Eocene,model intercomparison", "publicationState": "citable", "dataPublishedTime": "2024-06-14T12:00:34", "doiPublishedTime": "2024-06-14T12:00:15.274435", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42316/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/DeepMIP/deepmip-eocene-p1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 180356199122, "numberOfFiles": 3625, "fileFormat": "Data are Net-CDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11584/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4163/?format=api", "nonGeographicFlag": 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Climatological means and time series data were centrally collected at the University Research Data Storage Facility (RDSF) at the University of Bristol. Final compilation and metadata creation for archiving at the Centre for Environmental Data Analysis (CEDA) was performed at the University of Bristol.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13130/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41536/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202432/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/42317/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [] }, { "ob_id": 41546, "uuid": "1472ed9cd733446d954c71782c6a59c7", "title": "climate", "abstract": "This data set is involved from precipitation and temperature data for a station in Iran. 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After gathering data from large ensemble dataset of cesm2, averaging 100 models and then bias correcting them by multivariate bias correction method, results are presented for each year in winter season.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202444/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41547, "uuid": "300046500aeb4af080337ff86ae8e776", "title": "VISION: UKESM1 hourly modelled ozone for comparison to observations", "abstract": "Two UK Earth System Model (UKESM1) hindcasts have been performed in support of the Virtual Integration of Satellite and In-situ Observation Networks (VISION) project (NE/Z503393/1).\r\n\r\nData is provided as raw model output in Met Office PP (32-bit) format that can be read by the Iris (https://scitools-iris.readthedocs.io/en/stable/) or cf-python (https://ncas-cms.github.io/cf-python/) libraries.\r\n\r\nThis is global data at N96 L85 resolution (1.875 x 1.25, 85 model levels up to 85km). Simulations were performed on the Monsoon2 High Performance Computer (HPC).\r\n\r\nThe first dataset (Jan 1982 to May 2022) contains hourly ozone concentrations on the lowest model level (20m above the surface). \r\n\r\nThe second dataset (Jan 2010 to Dec 2020) contains hourly ozone concentrations and hourly Heaviside function on 37 fixed pressure levels. Data is only provided for days in which ozone was measured by the FAAM aircraft (for comparison purposes). \r\n\r\nOzone data is provided in mass mixing ratio (kg species/kg air).", "keywords": "UKESM,ozone,hourly", "publicationState": "published", "dataPublishedTime": "2024-05-02T08:11:05", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41615/?format=api", "dataPath": "/badc/vision/data/Vision_UKESM1_hourly_ozone", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 132012087023, "numberOfFiles": 15234, "fileFormat": "pp" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11594/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4164/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86139/?format=api", 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"responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202468/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/41550/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41552, "uuid": "a697ee6a3b314d4b866ec73d613369bb", "title": "C3S: Obs4MIPs format GOME-type Total Ozone Essential Climate Variable (GTO-ECV), Version 9.0", "abstract": "This dataset contains a time series of monthly averaged total ozone column data from nadir-viewing satellite sensors in Obs4MIPs format. It has been reformated from Version 9 of the GOME-type Total Ozone Essential Climate Variable (GTO-ECV) product, that has been generated as part of the European Union Copernicus Climate Change Service (C3S) ozone project. \r\n\r\nGTO-ECV is generated by combining measurements from several nadir-viewing satellite sensors (GOME/ERS-2, SCIAMACHY/Envisat, OMI/Aura, GOME-2/MetOp-A, GOME-2/MetOp-B, TROPOMI/Sentinel-5P, and GOME-2/MetOp-C) into one single cohesive record. The merging approach was developed in the framework of the European Space Agency’s Climate Change Initiative (ESA-CCI) ozone project.", "keywords": "ozone, C3S, CCI, obs4mips", "publicationState": "citable", "dataPublishedTime": "2024-11-19T15:45:02", "doiPublishedTime": "2024-11-19T16:48:23.621197", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43234/?format=api", "dataPath": "/neodc/obs4MIPs/DLR-BIRA/C3S-GTO-ECV-9-0/mon/toz/gn/v20231115/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 426995487, "numberOfFiles": 7, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11601/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api" ], "dataLineage": "The original GTO Version 9 product was generated as part of the European Union Copernicus Climate Change Service (C3S) ozone project. The merging approach was developed in the framework of the European Space Agency's Climate Change Initiative (ESA-CCI) ozone project.\r\n\r\nData were converted to Obs4MIPs format within the ESA CCI Climate Modellers User Group (CMUG) project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13207/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205651/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/41963/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2640/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://creativecommons.org/licenses/by-nc-nd/4.0/", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [] }, { "ob_id": 41553, "uuid": "62334c44979b4c62b763e0dff97cc923", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 24, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea, the North Sea, and the Atlantic Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 15 July 2022 and 14 October 2022.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products.", "keywords": "SLSTR,Validation,RMS Queen Mary 2,SST", "publicationState": "citable", "dataPublishedTime": "2026-01-26T17:08:00", "doiPublishedTime": "2026-02-19T09:07:20.216297", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44498/?format=api", "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise24/fv2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 713396677, "numberOfFiles": 186, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12128/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4968/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80302/?format=api" ], "dataLineage": "Measurements taken on the QM2 and processed with SISTeR processor version 2.5.1 to levels 2R and 3R as specified by the GHRSST recommended format.\r\n\r\nShip time and services were provided by Cunard Line.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13733/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44841/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44842/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202502/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/41554/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41555, "uuid": "cf66055440344d7eb9b6f834e81736c6", "title": "CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080)", "abstract": "The Grid-to-Grid (G2G) river flow model projections comprise an ensemble of natural and artificially influenced (AI) estimates of daily mean river flows (m3s-1). These flow projections are for a historical and future period spanning 1st December 1980 to 30th November 2080 and reflect scenarios of change in both climate and artificial (anthropogenic) influences (abstractions and discharges).\r\nThe historical and future projections are available in two formats: \r\n(i) 1 km × 1 km gridded daily mean river flows (m3s-1) for two spatial regions: Natural river flows across Great Britain, and Artificially influenced river flows across England\r\n(ii) Time series of daily flows for 626 catchments across England\r\nThe climate projections consist of an ensemble of bias-corrected UKCP18 Regional Climate Model (RCM) output. A further 4 hydrological connectivity datasets provide flow directions, upstream areas and coastal/gauged locations. Further details are provided in a linked Data Document.\r\n\r\n Three future scenarios of artificial influences are considered: \r\n(a) Sustainability (SUS), \r\n(b) Business as usual (BAU) and \r\n(c) Economic Growth (EG). \r\n\r\nThe dataset is an output from the CS-NOW project (Climate services for a Net Zero resilient world - GOV.UK (www.gov.uk)) commissioned by the UK Department for Energy Security and Net Zero (DESNZ). Publication of these data is also supported by the Natural Environment Research Council award number NE/X019063/1 as part of the Hydro-JULES programme delivering National Capability.", "keywords": "Hydrology,Modelling,Daily River Flows,Abstractions,Discharges,Artificial Influences,UKCP18,Climate Projection,UK,CS-N0W,CS-NOW,Natural River Flows,Artificially Influenced River Flows", "publicationState": "citable", "dataPublishedTime": "2025-01-22T16:35:05", "doiPublishedTime": "2025-01-23T14:25:57", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43319/?format=api", "dataPath": "/badc/desnz-cs-now/data/gridded-proj-river-flows", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 420233173964, "numberOfFiles": 3195, "fileFormat": "NetCDF and BADC-CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11929/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4615/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75161/?format=api" ], "dataLineage": "This dataset comprise an ensemble of natural and artificially influenced (AI) estimates of daily mean river flows (m3s-1). These flow projections are for a historical and future period spanning 1st December 1980 to 30th November 2080 and reflect scenarios of change in both climate and artificial (anthropogenic) influences (abstractions and discharges). Data were produced by the project team before archival at EDS-CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13230/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41577/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202664/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/41580/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41556, "uuid": "7de50672e73740c983abbe1bc22aa2aa", "title": "Met Office St Helena Bottoms Wood station high resolution radiosonde data v2", "abstract": "Met Office high resolution (2 second) radiosonde data from the St Helena Bottoms Wood station from 1999 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3533/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/671/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. The ascent files are then delivered to the BADC for ingesting into the archive approximately 1 month in arrears.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13005/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202537/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/6734/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41557, "uuid": "8ff82957cd414b74ac3550f5109b2ff7", "title": "Met Office South Uist station high resolution radiosonde data v2", "abstract": "Met Office high resolution (2 second) radiosonde data from the South Uist station from 1999 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3533/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/648/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3533/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/647/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3546/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/735/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3540/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/731/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3539/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/642/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. 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The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3534/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/723/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. The ascent files are then delivered to the BADC for ingesting into the archive approximately 1 month in arrears.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13005/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202593/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/13035/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41564, "uuid": "ab4e611de78c4bcf90a5e174d1c44df7", "title": "Met Office Aberporth High Resolution Radiosonde Data v2", "abstract": "Met Office high resolution (2 second) radiosonde data from the Aberporth airfield, Mid Wales from 1990 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. An ASCII formatted set of files are also available from 1990 to 2000 within this dataset.", "keywords": "Met Office, radiosonde", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3529/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/511/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. The ascent files are then delivered to CEDA for ingesting into the archive approximately 1 month in arrears. The ASCII version of the data were provided in support of operations of the MST radar facility near Aberystwyth and are included in this dataset as provided at that time.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13005/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202602/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/6726/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41565, "uuid": "7b1c3cc934a840c2b522d847e921c5be", "title": "Met Office Watnall station high resolution radiosonde data v2", "abstract": "Met Office high resolution (2 second) radiosonde data from the Watnall station from 2000 to 2013. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.\r\n\r\nThis updated version of this dataset contains additional information in the filenames to aid identifying changes in sonde instrumentation and ground station. Awareness of the overall sonde ascent set-up is important when adjusting these data for any identified changes in the resulting data products. The filenaming convention therefore follows the following naming convention:\r\n\r\nsonde-type_station_launch-date-time_sonde-serial_ground-station.ext\r\n\r\nwhere:\r\n - sonde-type indicates the radiosonde model used\r\n - station gives a lower-case site name from where the sonde was launched\r\n - launch-date-time is the date-time in UTC of the sonde's launch\r\n - sonde serial numbers can be cross referenced with Vaisala fact sheets to determine the specific sub-model instrumentation and thus any changes from earlier sondes of the same model \r\n - ground-staiton details the ground software used for processing sonde raw data into resulting archived files.", "keywords": "Met Office, radiosonde", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/3551/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/665/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. For sites in continued operation ascent files are then delivered to CEDA for ingesting into the archive approximately 1 month in arrears. Historic archive of data were provided by the Met Office as required. In both cases the files are examined with internal metadata cross-referenced with additional metadata tables to establish required metadata that have been included in filenames for the the archived files.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13005/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6722/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202610/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/13086/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41588, "uuid": "a1e5dd132fad4e129669e71adeed1ab1", "title": "UK 1.5km NWP meteorological data for Met Office NAME dispersion model (Mk4: Jul 2017 - current)", "abstract": "This dataset contains Numerical Weather Prediction (NWP) meteorological data produced by the operational UKV (United Kingdom Variable-resolution) configuration of the Met Office Unified Model. The files in this dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation from the inner, fixed-resolution domain of the UKV model (this covers the UK area at a spatial resolution of 1.5 km). The UKV model uses a rotated-pole coordinate system. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at hourly resolution for the period Feb 2015 - Jul 2017. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of UK gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, UK, Numerical Weather Prediction", "publicationState": "published", "dataPublishedTime": "2024-10-14T13:16:11", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41589/?format=api", "dataPath": "/badc/name_nwp/data/uk/UM1p5km_Mk4/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16424066052754, "numberOfFiles": 2105105, "fileFormat": "Data are in packed PP format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11646/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4387/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83330/?format=api" ], "dataLineage": "The underlying NWP data is produced by the operational UKV configuration of the Met Office's Unified Model. 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The files in the dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at 3-hourly resolution. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, Numerical Weather Prediction, UM", "publicationState": "published", "dataPublishedTime": "2024-10-14T13:09:54", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41593/?format=api", "dataPath": "/badc/name_nwp/data/global/UMG_Mk11/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19498881006381, "numberOfFiles": 225359, "fileFormat": "Data are in packed PP format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11647/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4388/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85933/?format=api" ], "dataLineage": "The underlying NWP data is produced by the operational global configuration of the Met Office's Unified Model. 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The files in the dataset have been processed into a form suitable for use in the Met Office NAME (Numerical Atmospheric-dispersion Modelling Environment) dispersion model. NAME uses the Met Office Numerical Weather Prediction model outputs as its source for weather data to be able to predict movement of atmospheric parcels forwards and backwards in time.\r\n\r\nThe files contain a basic collection of model-level fields (3-d winds, temperature, etc.) and a selection of single-level fields including mean sea level pressure, cloud and precipitation. Fields are split into various geographical regions (referred to as \"parts\" or \"PTs\" in NAME) with separate files for each \"part\". Data are provided at 3-hourly resolution. All files are in packed PP format.\r\n\r\nThe NWP data used by NAME is different from other forms of Met Office NWP as follows:\r\n- It has been split into spatial partitions (i.e. different parts of the world/domain are in different files)\r\n- It has been reformatted into PP format\r\n\r\nHowever, from the perspective of the raw data, this dataset of global gridded NWP meteorological data is generically useful for a whole range of scientific research and applications.", "keywords": "NAME, NWP, atmospheric dispersion, Mk10, Numerical Weather Prediction, UM", "publicationState": "published", "dataPublishedTime": "2025-09-08T11:13:51", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41599/?format=api", "dataPath": "/badc/name_nwp/data/global/UMG_Mk10/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34766040201496, "numberOfFiles": 402907, "fileFormat": "Data are in packed PP format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12653/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4388/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85998/?format=api" ], "dataLineage": "The underlying NWP data is produced by the operational global configuration of the Met Office's Unified Model. 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The dataset includes time in UTC, pressure, temperature, relative humidity, wind speed and direction, rainfall rate, shortwave downwelling flux and duration of sunshine, along other technical parameters, such as the time adjustment from GPS signal.\r\nThe data are operationally used as part of the Harwell TCCON data processing.\r\nContact information can be found in the metadata file 'harwell_weather_metadata'.", "keywords": "pressure, relative humidity, temperature, wind speed, wind direction, rainfall, downwelling flux, sunshine, UTC time", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": null, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/914/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41060/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202749/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/41609/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 41601, "uuid": "5725de8c7e934a05b978ff2b93e4438f", "title": "HadCM3Q PRECIS data generated for the QUMP (Quantifying Uncertainty in Model Predictions) Project using IPCC's SRES A1B future emissions scenario.", "abstract": "This PRESCIS dataset (Providing REgional Climates for Impacts Studies) is output data from the HadCM3Q GCM ensemble, which used the SRES A1B scenario (see the Special Report on Emissions Scenarios (SRES) www.ipcc.ch/pdf/special-reports/spm/sres-en.pdf) spanning December 1949 to November 2099. The data are split up according to their runid and then by their stash code. \r\n\r\nThe Quantifying Uncertainty in Model Predictions (QUMP) research theme aims to provide probabilistic predictions of future climate. These are based on large ensembles of simulations of equilibrium and time-dependent change, carried out by perturbing poorly constrained parameters controlling key physical and biogeochemical processes in the HadCM3 coupled ocean-atmosphere global climate model. Further ensembles of regional climate simulations at high resolution, driven by boundary conditions obtained from the HadCM3 ensemble, allow the specification of probabilistic predictions at spatial scales suitable for climate impact studies. These experiments allow quantification of the effects of earth system modelling uncertainties and internal climate variability on feedbacks likely to exert a significant influence on twenty-first century regional climate. \r\n \r\nThe diagnostics are either on the horizontal 'pressure grid' or the horizontal 'wind grid'. For the 'wind grid' an Arakawa B grid layout is used, in which wind variables are offset from all other variables (said to be on the 'pressure grid') by half a grid box in both directions. The 'wind grid' has the same number of points in the east-west direction as the 'pressure grid', but one less in the north-south direction.\r\n\r\nSome files are available as monthly means and some are available as daily means. \r\n\r\nEach daily mean file contains 360 fields (one field per day for a year in the 360 day calendar used by HadCM3Q). Each monthly mean tarball contains files with one field (one field for a month covering the span of December 1949 to November 2099).\r\n\r\nTables of information about the runids and stash codes can be found in the PRECIS_Data_Readme stored alongside the fileset.", "keywords": "HadCM3, PRECIS, QUMP, IPCC, SRES A1B", "publicationState": "published", "dataPublishedTime": "2024-04-18T14:31:11", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41602/?format=api", "dataPath": "/badc/hadcm3/data/PRECIS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5173959890830, "numberOfFiles": 3104366, "fileFormat": "Data are PP formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11649/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4002/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52359/?format=api" ], "dataLineage": "Data from the UK Met Office Hadley Centre. Dataset directory structure was reordered by CEDA staff in November 2023 to place experiment runs within a directory of their associated experiment.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13847/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/3791/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202758/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40905/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2613/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "link", "label": "restricted: link group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" } ], "discoveryKeywords": [] }, { "ob_id": 41610, "uuid": "5b1caf9095d7412282f5ba6b558034e3", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 09.1", "abstract": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v09.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI, Active", "publicationState": "citable", "dataPublishedTime": "2024-10-03T15:36:13", "doiPublishedTime": "2024-10-15T10:36:28", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43058/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v09.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8813892699, "numberOfFiles": 11838, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11808/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13193/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41613/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204501/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43035/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 41611, "uuid": "ca55ac11fc814b0d95e68a34a10539c1", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 09.1", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v09.1 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, CCI, Passive, Soil Moisture", "publicationState": "citable", "dataPublishedTime": "2024-10-03T15:36:27", "doiPublishedTime": "2024-10-15T10:37:28", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43059/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v09.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21329380118, "numberOfFiles": 16499, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11809/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13194/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41613/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204502/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43040/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 41612, "uuid": "0e346e1e1e164ac99c60098848537a29", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 09.1", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v09.1 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2023-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI, Combined", "publicationState": "citable", "dataPublishedTime": "2024-10-03T15:36:37", "doiPublishedTime": "2024-10-15T10:37:36", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43060/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v09.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23286634661, "numberOfFiles": 16498, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11810/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13195/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41613/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204503/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43041/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 41614, "uuid": "85c7d97c5d104a32989b13abc3f8ea5d", "title": "Elevation change grids of Greenland's periphery for the years 1978, 1981, 1985 and 1987", "abstract": "This dataset contains elevation change grids (Digital Elevation Models (DEMs) of Difference) for Greenland's periphery subtracting the AeroDEM (Korsgaard et al., 2016) elevation data from the ArcticDEM (Porter et al., 2023). Four timestamps are available given the four nominal years for AeroDEM acquisition (1978, 1981, 1985, 1987).\r\n\r\nThe .tif files are the first order filtered DoDs (DEM of Difference) of the entire periphery prior to subsequent empiracle rule filtering and clipping to peripheral ice cap and glacier ablation areas.\r\n\r\nKorsgaard, N.J., Nuth, C., Khan, S.A., Kjeldsen, K.K., Bjørk, A.A., Schomacker, A. and Kjær, K.H., 2016. Digital elevation model and orthophotographs of Greenland based on aerial photographs from 1978–1987. Scientific Data, 3(1), pp.1-15.\r\n\r\nPorter, Claire, et al., 2023, “ArcticDEM, Version 4.1”, https://doi.org/10.7910/DVN/3VDC4W, Harvard Dataverse, V1", "keywords": "Elevation,DEM of Difference,Greenland,PGIC", "publicationState": "published", "dataPublishedTime": "2024-05-21T09:26:44", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41669/?format=api", "dataPath": "/badc/deposited2024/Greenland_peripheral_DH_grids", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1348705691, "numberOfFiles": 5, "fileFormat": ".tif" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11650/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4390/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "ArcticDEM mosaic accessed and exported from Google Earth Engine at 2m and resampled (bilinear) to 30m\r\nAeroDEM data downloaded from NCEI site and resampled to 30m resolution Bilinear) https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0145405 \r\n\r\nCoregistration conducted using the DEMcoreg python scripts of David Shean https://github.com/dshean/demcoreg", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41663/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202855/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/41673/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41617, "uuid": "4aac4f8ba15f43e59eb81756b464c9fb", "title": "A global climatology of sting-jet cyclones: TRACK files and Sting-Jet Precursor Cut-Outs", "abstract": "This dataset contains:\r\n(1) extra-tropical cyclone tracks generated by the \"TRACK\" storm tracking algorithm (Hodges 1994, 1995, 1999) applied the European Centre for Medium-Range Weather Forecasts ERA5 reanalysis product,\r\n(2) cyclone 'cutouts' holding storm-centred gridded data used by the sting-jet precursor (SJP) algorithm (Martinez-Alvarado et al., 2013), and\r\n(3) output diagnostics from the SJP algorithm.\r\n\r\nThe directories contain data for seasons October-March (Northern Hemisphere) and April-September (Southern Hemisphere) during 1979-2022. TRACK uses 850 hPa relative vorticity filtered to T42 spectral resolution to find storm candidates and only tracks lasting >=1day and tracking >=500km are considered. The 10% strongest tracks also exhibiting a warm seclusion are archived in the \"storm_data\" directory for each season, except for the single season October-March 2011/2012 for which all North Atlantic tracks are also included in \"storm_data_alltracks\" directory.\r\n\r\nFull descriptions of each data type are given in:\r\n(1) readme-tracks.txt\r\n(2) readme-cutouts.txt\r\n(3) readme-sjp-outputs.txt\r\n\r\nFor full details of the storm selection and SJP analysis, see Gray et al: A global climatology of sting-jet extratropical cyclones (doi.org/10.5194/egusphere-2024-1413).\r\n\r\nSee online resources on this record for referenced items.", "keywords": "Sting Jet, ERA5, Extra-tropical cyclone", "publicationState": "citable", "dataPublishedTime": "2024-10-22T11:23:21", "doiPublishedTime": "2024-10-22T11:34:13", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43201/?format=api", "dataPath": 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They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. \r\n\r\nThis release of the data is version 5. Compared to version 4, version 5 consists of an update of the three maps of AGB (aboveground biomass) for the years 2010, 2017, 2018, 2019, 2020 and new AGB maps for 2015, 2016 and 2021. New AGB change maps have been created for consecutive years (2015-2016, 2016-2017 and 2020-2021), alongside an update of change maps for years 2010-2020, 2017-2018, 2018-2019 and 2019-2020, and for a decadal interval (2020-2010). The pool of remote sensing data now includes multi-temporal observations at L-band for all biomes and for all years. The AGB maps rely on revised allometries which are now based on a longer record of spaceborne LiDAR data from the GEDI and ICESat-2 missions. Temporal information is now implemented in the retrieval algorithm to preserve biomass dynamics as expressed in the remote sensing data. Biases between 2010 and more recent years have been reduced.\r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAdditionally provided in this version release are new aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nIn addition, files describing the AGB change between two consecutive years (i.e., 2015-2016, 2016-2017, 2018-2017, 2019-2018, 2019-2020, 2020-2021) and over a decade (2020-2010) are provided (labelled as 2015_2016, 2016_2017, 2017_2018, 2018_2019, 2019_2020 and 2020_2010). Each AGB change product consists of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.\r\n\r\n\r\nData are provided in both netcdf and geotiff format.", "keywords": "ESA, CCI, Biomass", "publicationState": "citable", "dataPublishedTime": "2024-06-06T14:08:37", "doiPublishedTime": "2024-08-22T16:16:41", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41779/?format=api", "dataPath": "/neodc/esacci/biomass/data/agb/maps/v5.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 664510290791, "numberOfFiles": 8798, "fileFormat": "Data are netCDF and geotiff formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11655/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75121/?format=api" ], "dataLineage": "Data was created by the Biomass CCI team.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13175/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29954/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202878/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/41622/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2542/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41632, "uuid": "23acd3f409e6420daff30c1dab874c1b", "title": "ATSR-1: Average Surface Temperature (AST) Product (AT1_AR__2P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Average Surface Temperature (AST) Product. These data are the Level 2 spatially averaged geophysical product derived from Level 1B product and auxiliary data. This data is from the 3rd reprocessing and tagged v3.0.1\r\n\r\nThere are two types of averages provided: 10 arcminute cells and 30 arcminute cells. All cells are present regardless of the surface type. Hence, the sea (land) cells would also have the land (sea) records even though these would be empty. Cells containing coastlines will have both valid land and sea records; the land (sea) record only contains averages from the land (sea) pixels. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files.", "keywords": "ATSR, Average Surface Temperature, AST", "publicationState": "published", "dataPublishedTime": "2024-05-30T08:32:34", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41641/?format=api", "dataPath": "/neodc/aatsr_multimission/atsr1-v3.0.1/data/at1_ar__2p", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1309266838127, "numberOfFiles": 73433, "fileFormat": "ENVISAT PDS" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11675/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data were acquired by the European Space Agency's (ESA) ERS-1 satellite, and the NERC Earth Observation Data Centre (NEODC) mirrored the data for UK users. The data has been periodically reprocessed to take into account latest calibration and processing techniques and released to CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19905/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41635/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202901/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/41633/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2580/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/Terms-and-Conditions-for-the-use-of-ESA-Data.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41637, "uuid": "122a21a0ffe14051b4b6eed752480c36", "title": "ATSR-1: Gridded Surface Temperature (GST) Product (AT1_NR__2P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Gridded Surface Temperature (GST) Product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThe contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files.", "keywords": "ATSR, Gridded Surface Temperature, GST", "publicationState": "published", "dataPublishedTime": "2024-05-30T08:28:55", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41645/?format=api", "dataPath": "/neodc/aatsr_multimission/atsr1-v3.0.1/data/at1_nr__2p", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3098288453247, "numberOfFiles": 74012, "fileFormat": "ENVISAT PDS" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/2308/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19905/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41635/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202929/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/8069/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2580/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/Terms-and-Conditions-for-the-use-of-ESA-Data.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41638, "uuid": "b13fe2c503d34d6297440de27af5ed90", "title": "ATSR-1: Gridded Brightness Temperature/Reflectance (GBTR) product (AT1_TOA_1P), v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Gridded Brightness Temperature/Reflectance (GBTR) Product. These data are the Level 1B product that consists of Top of Atmosphere (TOA) radiance measurements and brightness temperatures at full resolution for both the nadir and forward views. \r\n\r\nThe product was calibrated for instrumental and atmospheric effects and re-sampled to a fixed grid aligned to the sub-satellite track. This product were derived from the Level 0 product and auxiliary data, and serves as the input data for all Level 2 products. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files.", "keywords": "ATSR, Gridded Brightness Temperature/Reflectance, GBTR", "publicationState": "published", "dataPublishedTime": "2024-05-30T08:30:50", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41644/?format=api", "dataPath": "/neodc/aatsr_multimission/atsr1-v3.0.1/data/at1_toa_1p", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17947921163966, "numberOfFiles": 129407, "fileFormat": "ENVISAT PDS" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/2307/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19905/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41635/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202939/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/8065/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2580/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/Terms-and-Conditions-for-the-use-of-ESA-Data.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41639, "uuid": "484dcbe7fe0a49c2983740ae96dd1d83", "title": "ATSR-1: Three Band Colour Composite Browse Product (AT1_AST_BP) v3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Browse Product. These data are 3 band colour composite, quick-look images at coarse resolution. The browse product for the ATSR-1 and the ATSR-2 missions were introduced during the third reprocessing of data products. 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These data are the Level 2 product designed for the use by meteorological offices derived from Level 2 AST product.\r\n\r\nThe product contains only the sea surface temperature with spatial resolution of 10 arc minutes. It also contains the Average Brightness Temperature (ABT) fields, which includes brightness temperature and TOA sea record on the same spatial resolution. Like the AST product this product is derived from, all areas contains data, where the land pixels have empty data, and the coasts containing averages derived only from the sea pixels in the cell. 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NE/C003365/1", "keywords": "GFDEX, FAAM, turbulence", "publicationState": "published", "dataPublishedTime": "2024-06-06T13:49:02", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41658/?format=api", "dataPath": "/badc/gfdex/data/turbulence_SL/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 87737, "numberOfFiles": 3, "fileFormat": "ASCII text" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11660/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/8/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "These data were produced by the project team and the output data were then supplied to CEDA for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/643/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/640/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203433/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43421/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41659, "uuid": "83ba8d0333ba4ccd99c9d3df3096df24", "title": "Surface level turbulence derived from FAAM and MASIN flight measurements for the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project", "abstract": "This dataset contains surface layer turbulent fluxes and meteorological variables derived from instruments on board the Facility for Airborne Atmospheric Measurement (FAAM) and Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft. These data were based on measurements made during the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project.", "keywords": "ACCACIA, FAAM, MASIN, turbulence", "publicationState": "published", "dataPublishedTime": "2024-06-06T13:56:20", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/41780/?format=api", "dataPath": "/badc/accacia/data/turbulence_SL", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 238799, "numberOfFiles": 3, "fileFormat": "plain text" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11661/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1991/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "These data were produced by the project team and the output data were then supplied to CEDA for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12286/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202988/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43422/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41662, "uuid": "667a2328d2b04f02b653569975f53f55", "title": "Greenland 1980 and 2010s landcover grids from Landsat 5 and Landsat 8", "abstract": "This dataset consists of two landcover grids representing Greenland in the late 1980s and late 2010s, utilising Landsat 5 Thematic Mapper Top-Of-Atmosphere (TM TOA) and Landsat 8 Operational Land Imager Top-Of-Atmosphere (OLI TOA) imagery respectively. \r\nThe data creation involved rigorous preprocessing and image classification methodologies, detailed extensively in the paper by Grimes, M., Carrivick, J.L., Smith, M.W., et al. (2024), \"Land cover changes across Greenland dominated by a doubling of vegetation in three decades,\" Sci Rep, 14, 3120. DOI: 10.1038/s41598-024-52124-1. The full methodology is also discussed in the supplementary material of the publication.\r\n\r\nThe resultant .tif grids are in integer format with values from 1 to 9 representing landcover class:\r\n1 - Bad data/Cloud/Shadow\r\n2 - Snow and Ice\r\n3 - Wet ice and meltwater\r\n4 - Freshwater\r\n5 - Coarse sediment\r\n6 - Fine-grained sediment\r\n7 - Bedrock\r\n8 - Tundra vegetation\r\n9 - Dense/wet vegetation\r\nThe tif grids were produced using Google Earth Engine. All summer Landsat imagery was filtered by metadata, followed by topographical correction, resulting in a best-pixel mosaic for Greenland's periphery. Band ratios (NDSI, NDVI, NDWI) were computed and stacked with visible, NIR, and SWIR bands. A principal component analysis was conducted, retaining the first six principal components as bands, which were subsequently classified using a K-means clusterer and refined with a supervised random-forest classifier and a slope threshold was applied to discriminate shadows from dark water bodies more effective.\r\nThis dataset was generated through a NERC-funded PhD project at the University of Leeds (Grant NE/L002574/1).", "keywords": "landcover,classification,greenland,climate", "publicationState": "published", "dataPublishedTime": "2024-06-13T15:43:14", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42318/?format=api", "dataPath": "/badc/deposited2024/Greenland_Landcover_Grids/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 924202091, "numberOfFiles": 3, "fileFormat": "TIF files" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11665/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4396/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data creation involved rigorous preprocessing and image classification methodologies and the full methodology is discussed in the supplementary material of the publication Grimes, M., Carrivick, J.L., Smith, M.W., et al. (2024), \"Land cover changes across Greenland dominated by a doubling of vegetation in three decades,\" Sci Rep, 14, 3120. DOI: 10.1038/s41598-024-52124-1.\r\nBriefly, the tif grids were produced using Google Earth Engine. All summer Landsat imagery was filtered by metadata, followed by topographical correction, resulting in a best-pixel mosaic for Greenland's periphery. Band ratios (NDSI, NDVI, NDWI) were computed and stacked with visible, NIR, and SWIR bands. A principal component analysis was conducted, retaining the first six principal components as bands, which were subsequently classified using a K-means clusterer and refined with a supervised random-forest classifier and a slope threshold was applied to discriminate shadows from dark water bodies more effective.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41663/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203021/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/42320/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41670, "uuid": "81567bfb789e4ec4ae30cdd3772f8242", "title": "OpenCLIM - Catchment Flow Metrics", "abstract": "This dataset contains flood, drought, and flow metrics calculated as part of the OpenCLIM (Open CLimate Impacts Modelling framework) project. All metrics have been calculated for 698 UK catchments from timeseries of daily river flow simulated by the hydrological models SHETRAN and HBV by teams from Newcastle University and the University of East Anglia respectively for historical and future periods. All analysis code is available on GitHub (https://github.com/OpenCLIM/OpenCLIM-SHETRAN_Flow_Analysis).\r\n\r\nClimate change simulations were driven by bias corrected UKCP18 data from 01/12/1980 to 30/11/2080. Datasets from all 12 regional climate models (RCMs) were used and are presented separately. Flow metrics are given for 698 catchments in the UK at catchment outlets/gauge locations: https://nrfa.ceh.ac.uk/data/search. These data can be used for the continued analysis of climate impacts and for comparison with future studies.\r\n\r\nFile naming convention: Project_Data_Model_ClimateDriver_ScenarioNumber_ScenarioNote_Metric.csv\r\n\r\nScenario notes:\r\nSc01: Land use was taken from baseline Urban Development Model (UDM) setups with no Natural Flood Management (NFM) adaptations applied. \r\nSc02 & Sc06: Land use was taken from baseline UDM setups with NFM max/moderate adaptations applied. \r\nSc03: Land use was taken from storylined UDM setups (2050 and 2080) for SSPs 2 and 4. No NFM adaptations were applied. For SHETRAN, only catchments with UDM changes relative to the baseline simulations or the previous UDM year were simulated.\r\n\r\nFurther information, including descriptions of the urban development model (UDM) and natural flood management (NFM) setups, is provided in the supplementary README.txt alongside the data.\r\n\r\nUKCP18 - UK Climate Projections 2018 (UKCP18) is a climate analysis tool that forms part of the Met Office Hadley Centre Climate Programme.", "keywords": "SHETRAN,HBV,OpenCLIM,UDM,UKCP18", "publicationState": "citable", "dataPublishedTime": "2024-07-26T13:20:34", "doiPublishedTime": "2024-07-26T13:20:50.693127", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42341/?format=api", "dataPath": "/badc/deposited2024/OpenCLIM_CatchmentFlowMetrics/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 165172087, "numberOfFiles": 338, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11677/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4398/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Hydrological models were run for 698 catchments in the UK by teams at Newcastle university (SHETRAN) and University of East Anglia (HBV) as part of the OpenCLIM project. These models generated river flows for historical and climate change simulations from which these metrics have been calculated.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13157/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41636/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204117/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43043/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41672, "uuid": "a2e1601a29004c13849be5e84594f37a", "title": "OpenCLIM: Catchment Discharges", "abstract": "This dataset contains simulated river flow discharges from the SHETRAN and HBV hydrological models used in the OpenCLIM (Open CLimate Impacts Modelling framework) project. All values are daily flows (i.e. flow at midnight on the given day) in cumecs. Flows are given for 698 catchments in the UK at catchment outlets/gauge locations: https://nrfa.ceh.ac.uk/data/search. These data can be used for the continued analysis of climate impacts and for comparison with future studies.\r\n\r\nHistorical simulations were driven by CHESS/GEAR (Great Britain) and HADUK-Grid (Northern Ireland) datasets from 01/01/1980 to 31/12/2010 (described below).\r\nClimate change simulations were driven by bias corrected UKCP18 data from from 01/12/1980 to 30/11/2080. \r\n\r\nFile naming convention: Project_Data_Model_ClimateDriver_ScenarioNumber_ScenarioNote_RCMNumber.csv\r\n\r\nScenario notes:\r\nSc01: Land use was taken from baseline Urban Development Model (UDM) setups with no Natural Flood Management (NFM) applied.\r\nSc02 & Sc06: Land use was taken from baseline UDM setups with maximum/moderate NFM were applied (increased woodland and storage). \r\nSc03: Land use was taken from storylined UDM setups (2050 and 2080) for SSPs 2 and 4. No NFM adaptations were applied. Only those (GB) catchments that have UDM changes relative to the baseline simulations or the previous UDM year are simulated.\r\n'RCM' refers to the UKCP18 Regional Climate Model time series that was used in the simulation.\r\n\r\nFurther information, including descriptions of the urban development model (UDM) and natural flood management (NFM) setups, is provided in the supplementary README.txt alongside the data.\r\n\r\nInput datasets:\r\nCHESS - The Climate hydrology and ecology research support system (CHESS) provides high-resolution gridded datasets for environmental research. These datasets include data for driving land surface models and hydrological models, as well as model output.\r\nGEAR - The Centre for Ecology & Hydrology – Gridded Estimates of Areal Rainfall (CEH-GEAR) data set was developed to provide reliable 1 km gridded estimates of daily and monthly rainfall for Great Britain (GB) and Northern Ireland (NI) from 1890 onwards. 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Five perturbed initial condition states taken for each year hence, 41 x 5 = 205 members.\r\n3) OCEAN-IC-2022\r\nSimilar to CONTROL with 2022 initial conditions for the ocean, but with initial atmosphere, land surface and carbon dioxide conditions taken from a year in 1981-2021. Like ATMOS-IC-2022, 41 x 5 = 205 members.\r\n\r\nThe OCEAN-IC-2022 experiments were performed by taking the setup for hindcasts 1981-2021 and swapping the ocean initial conditions for 2022. The time dimension therefore corresponds to the time of the base hindcast taken from 1981-2021. Conversely, the ATMOS-IC-2022 were performed by running the 2022 hindcast and swapping the ocean initial conditions for other years. The time dimension for ATMOS-IC-2022 therefore is identical for all members. 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Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH.blend is a near-global gridded monthly mean surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships and weather stations. The observations have been quality controlled and homogenised / bias adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2023.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2023. It combines the latest version of HadISDH.land and HadISDH.marine and therefore their respective update notes. Users are advised to read the update documents in the Docs section for full details.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. International Journal of Climatology.\r\ndoi:10.1002/joc.4775.\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. 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HadISDH.extremes is a near-global gridded monthly land surface extremes index climate monitoring product. It is created from in situ sub-daily observations of wet bulb (converted from dew point temperature) and dry bulb temperature from weather stations. The observations have been quality controlled at the hourly level with strict temporal completeness thresholds applied at daily, monthly, annual, climatological and whole period scales to minimise biases. Gridbox months are assessed for inhomogeneity and scores provided (see Homogeneity Score Document in Docs). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2023.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for 27 different heat extremes indices based on the ET-SCI (Expert Team on Sector-Specific Climate Indices) framework. These indices capture a range of moderate to severe extremes. They utilise the daily maximum and minimum values of sub-daily dry bulb and wet bulb temperature observations. Note that these will most likely underestimate the true extremes even when hourly data are available. The data are designed for assessing large scale features over long time scales, ideally using the anomaly fields as these are less affected by sampling biases. Users are advised to cross-compare with national datasets other supporting evidence when assessing small scale localised features.\r\n\r\nThis version is the first with annual updates envisaged. An update record will be maintained in the Docs section.\r\n\r\nHadISD.3.4.0.2023f is the basis of HadISDH.extremes.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K, 2023: HadISDH.extremes Part 1: a gridded wet bulb temperature extremes index product for climate monitoring. Advances in Atmospheric Sciences, 40, 1952–1967, doi: 10.1007/s00376-023-2347-8. https://link.springer.com/article/10.1007/s00376-023-2347-8\r\n\r\nWillett, K. 2023: HadISDH.extremes Part 2: exploring humid heat extremes using wet bulb temperature indices. Advances in Atmospheric Sciences, 40, 1968–1985, doi: 10.1007/s00376-023-2348-7. https://link.springer.com/article/10.1007/s00376-023-2348-7\r\n\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. 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HadISDH.land is a near-global gridded monthly mean land surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from weather stations. The observations have been quality controlled and homogenised. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2023. \r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2023. Users are advised to read the update document in the Docs section for full details on all changes from the previous release.\r\n\r\nAs in previous years, the annual scrape of NOAAs Integrated Surface Dataset for HadISD.3.4.0.2023f, which is the basis of HadISDH.land, has pulled through some historical changes to stations. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. 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HadISDH.marine is a near-global gridded monthly mean marine surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships. The observations have been quality controlled and bias-adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2023.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2023. Users are advised to read the update document in the Docs section for full details on all changes from the previous release.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/73613/?format=api" ], "dataLineage": "HadISDH.marine is a global ocean surface (~10 m) humidity dataset and is produced by the Met Office Hadley Centre in collaboration with NOC. It is based on the sub-daily ship observations from ICOADS. It is passed to CEDA for archiving and distribution.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13127/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/13522/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203534/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30534/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 41959, "uuid": "89c654c2e4a74ce5a494b69753d8291e", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Mass flow rate ice discharge (MFID) for Greenland from CCI IV, CCI SEC, and BedMachine v2.0", "abstract": "Mass flow rate ice discharge (MFID) for Greenland ice sheet sectors. This data set is part of the ESA Greenland Ice sheet CCI project. \r\n\r\nIt provides the following CSV files: \r\n- Mass flow rate ice discharge. Units are Gt yr^{-1}.\r\n- Mass flow rate ice discharge uncertainty. Units are Gt yr^{-1}.\r\n- Coverage for each sector at each timestamp. Unitless [0 to 1].\r\n\r\nIce discharge is calculated from the CCI Ice Velocity (IV) product, the CCI Surface Elevation Change (SEC) product (where it overlaps with the ice discharge gates), and ice thickness from BedMachine. Ice discharge gates are placed 10 km upstream from all marine terminating glacier termini that have baseline velocities of more than 150 m/yr. Results are summed by Zwally et al. (2012) sectors.\r\n\r\nThe methods, including description of \"coverage\", are described in Mankoff et al. 2020.", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "citable", "dataPublishedTime": "2024-10-16T08:19:51", "doiPublishedTime": "2024-10-18T13:25:04.526350", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43145/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_mass_flow_rate_ice_discharge/v2.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 384289, "numberOfFiles": 8, "fileFormat": "csv, png, txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11863/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Ice discharge is calculated from the CCI Ice Velocity (IV) product, the CCI Surface Elevation Change (SEC) product (where it overlaps with the ice discharge gates), and ice thickness from BedMachine. Ice discharge gates are placed 10 km upstream from all marine terminating glacier termini that have baseline velocities of more than 150 m/yr. Results are summed by Zwally et al. (2012) sectors. The methods, including description of \"coverage\", are described in Mankoff et al. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. 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Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. 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"abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. 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Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The datasets cover the UK at 1 km x 1 km resolution. These 1 km x 1 km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution. \r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. 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Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n\r\n * Added data for calendar year 2023\r\n \r\n* Added newly digitised data for monthly sunshine 1910-1918\r\n\r\n * Added Rainfall Rescue version 2 doi:10.5281/zenodo.7554242\r\n\r\n * Updated shapefiles used for production of area average statistics https://github.com/ukcp-data/ukcp-spatial-files\r\n\r\n * Updated controlled vocabulary for metadata assignment https://github.com/ukcp-data/UKCP18_CVs\r\n\r\n * Updated assignment of timepoint for some periods so that the datetime is the middle of the period (e.g. season) rather than a fixed offset from the period start.\r\n\r\n * Updated ordering of regions within regional values files. Alphabetical ordering.\r\n\r\n * Files use netcdf level 4 compression using gzip https://www.unidata.ucar.edu/blogs/developer/entry/netcdf_compression\r\n\r\n* Net changes to the input station data used to generate this dataset:\r\n\r\n- Total of 125601744 observations\r\n\r\n- 122621050 (97.6%) unchanged\r\n\r\n- 26700 (0.02%) modified for this version\r\n\r\n- 2953994 (2.35%) added in this version\r\n\r\n- 16315 (0.01%) deleted from this version\r\n\r\n* Changes to monthly rainfall 1836-1960\r\n\r\n- Total of 4823973 observations\r\n\r\n- 3315657 (68.7%) unchanged\r\n\r\n- 21029 (0.4%) modified for this version\r\n\r\n- 1487287 (30.8%) added in this version\r\n\r\n- 11155 (0.2%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.0.ceda HadUK-Grid datasets are as follows:\r\n \r\n* Added data for calendar year 2023\r\n \r\n* Added newly digitised data for daily rainfall (62 Scottish stations for 1945-1960)\r\n \r\n* Daily rainfall data for Bolton, 1916-1919 have been corrected (previous values were corrupted and needed redigitising)\r\n \r\n* Daily rainfall data for Buxton, 1960 have been corrected (conversion from inches to mm had been applied incorrectly)\r\n \r\n* Rainfall data from EA and SEPA APIs are included for the last three months of the dataset (Oct-Dec 2023) (for all earlier months the rainfall data from partner agencies is obtained from the Met Office's MIDAS database)\r\n \r\n* The number of stations used for groundfrost, sunshine and windspeed have reduced at different points in the historical series when comparing v1.3.0.ceda to the previous version v1.2.0.ceda. These reductions in station numbers have been caused by changes made in the data processing steps upstream of the gridding process.\r\n \r\n* For groundfrost this reduction has been caused by an automated quality control process flagging the historical data which have been removed as suspect (mostly affecting data from 1961 to 1970).\r\n \r\n* For sunshine the small reduction in the 1960s has been caused by the removal of digitized monthly sunshine data through this period where we wish to reverify the data source.\r\n \r\n* For windspeed the reduction from 1969 to 2010 has been caused by changes to rules applied relating to data completeness when compiling daily mean windspeeds, which in turn have followed through to monthly statistics.\r\n \r\n* We plan to carry out a review of the data which have been excluded from this version. Some of it may be reintroduced in a future release.\r\n \r\n* Net changes to the input station data:\r\n \r\n- Total of 126970983 observations\r\n- 125384735 (98.75%) unchanged\r\n- 28487 (0.02%) modified for this version\r\n- 1557761 (1.23%) added in this version\r\n- 188522 (0.15%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. 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The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2023.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.\r\n\r\nLiquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2023.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.\r\n\r\nFor further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2023.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. 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It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. 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Data are extracted from a sub-set of available tables and delivered to Centre for Environmental Data Analysis (CEDA) approximately on a yearly basis.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13162/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/1186/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26184/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204111/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27187/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 43009, "uuid": "2e98ece54bf74911bf0b63a7d1354274", "title": "Modelled water mass of PM2.5 components at Manchester Air Quality site", "abstract": "The modelled data valid at the location of the Manchester Air Quality site was extracted from the domain at 3 km x 3 km resolution. The relative humidity (from WRF) and the chemical composition (from EMEP4UK) were then used to calculate the water mass associated with the components of PM2.5 using the method by Snider et al. (2016).", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11803/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4566/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43010/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204357/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43011/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43020, "uuid": "a66447dd099c4320b67c2a8f9458b27a", "title": "Daily model outputs from coupled ocean-biogeochemistry model with passive tracers released from the location of the MV X-Press Pearl accident location 2021.", "abstract": "This dataset contains outputs from two sets of simulations from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the Sri Lanka region. In both simulations, the model is forced with ERA5 atmosphere, and a Nucleus for European Modelling of the Ocean (NEMO) dataset (ocean only, 3 year run) as lateral ocean boundary and initial conditions. Passive tracers (urea - organic nitrogen) are released from the region of the MV X-Press Pearl accident (approximately 7.0546N, 79.7589E). Both simulations last three months each. The outputs are stored in daily averaged grid-u, grid-v, grid-w, grid-t, and tracer variable files. For one set of these simulations, 1100T of passive tracers (urea, organic nitrogen compound) are released at different rates - over 1 day, 7 days, and 15 days. The start date of the release is 25/05/2021. These simulation start and end on: 01/05/2021 - 31/07/2021. In the other set of simulations, the release rate is over 1 day, but the date of the release is shifted from the 25th May to 25th of January, 25th February, 25th July, 25th September and 25th October (2021). These simulations start and end respectively on: 01/01/2021 - 31/03/2021; 01/02/2021 - 30/04/2021; 01/07/2021-31/09/2021; 01/09/21 - 30/11/2021; 01/10/2021 - 31/12/2021. The model configuration is named SRIL34. A complementary dataset with the hourly averaged release of tracers is also public. The outputs were generated under the Climate Linked Atlantic Sector Science (CLASS) and the South Asian Nitrogen Hub (SANH; NE/S009019/1) projects.", "keywords": "oceans", "publicationState": "citable", "dataPublishedTime": "2024-05-21T13:44:41", "doiPublishedTime": "2024-05-21T13:44:41", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43019/?format=api", "dataPath": "/bodc/pol240042", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "NetCDF, text" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11804/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4567/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13142/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204394/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204402/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43022, "uuid": "6eb1d162644f484eaff82e2e8f96fc99", "title": "Hourly model outputs from coupled ocean-biogeochemistry model with passive tracers released from the location of the MV X-Press Pearl accident location 2021.", "abstract": "This dataset contains outputs from two sets of simulations from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the Sri Lanka region. In both simulations, the model is forced with ERA5 atmosphere, and a Nucleus for European Modelling of the Ocean (NEMO) dataset (ocean only, 3 year run) as lateral ocean boundary and initial conditions. Passive tracers (urea - organic nitrogen) are released from the region of the MV X-Press Pearl accident (approximately 7.0546N, 79.7589E). The outputs are stored in monthly files on grid-u, grid-v, grid-w, grid-t, and tracer variables containing hourly averages. For these simulations, 1100T of passive tracers (urea, organic nitrogen compound) are released at different rates - over 1 hour and over 6 hours. The start date of the release is 25th of May 2021. These simulation start and end on: 01/05/2021 - 30/06/2021. A complementary dataset with daily release of tracers is also public. The model configuration is named SRIL34. The outputs were generated under the Climate Linked Atlantic Sector Science (CLASS) and the South Asian Nitrogen Hub (SANH; NE/S009019/1) projects.", "keywords": "oceans", "publicationState": "citable", "dataPublishedTime": "2024-05-21T13:46:16", "doiPublishedTime": "2024-05-21T13:46:16", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43021/?format=api", "dataPath": "/bodc/pol240043", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "NetCDF, text" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11805/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4567/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13143/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204403/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204414/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43024, "uuid": "074f29828a0447aaabc813e5cfeaa34f", "title": "SRIL34 model outputs of ocean physics variables over the Sri Lanka region (2019-2021).", "abstract": "This dataset contains outputs from a three year ocean (Nucleus for European Modelling of the Ocean (NEMO)) model simulation over the Sri Lanka region, from 2019 to 2021. The model is at 1/60 degree resolution, based on General Bathymetric Chart of the Oceans (GEBCO) bathymetry. It is forced with Copernicus Marine Environment Monitoring Service (CMEMS), GLOBAL_MULTIYEAR_PHY_001_030-TDS, derived ocean boundary conditions and ERA5 atmosphere. The data are daily averages saved in monthly grid-t, grid-u, and grid-v files. The model configuration is named SRIL34, and was part of the X-Press Pearl Disaster Nitrogen Modelling project. The outputs were generated under the Climate Linked Atlantic Sector Science (CLASS) and the South Asian Nitrogen Hub (SANH; NE/S009019/1) projects.", "keywords": "oceans", "publicationState": "citable", "dataPublishedTime": "2024-05-21T13:43:27", "doiPublishedTime": "2024-05-21T13:43:27", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43023/?format=api", "dataPath": "/bodc/pol240044", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "NetCDF, text" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11806/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4567/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13144/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204426/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43026, "uuid": "8d7f2727efee45d88544608e2c7bf20d", "title": "Idealised outputs on effects of tides and waves on delta development using the model Delft3D on a 36 and 72 year scale.", "abstract": "This dataset includes model outputs of velocities, depths, sediment concentrations, and wave conditions, amongst others. The simulations model an idealised coast (19.75 km alongshore by 9 km cross-shore) and river (width 250 m by length 50 km) with constant discharge of water (1280 m3 s-1) and sediment (128 kg s-1), and with various combinations of significant wave height (up to 2 m) and tidal range (up to 6 m). They represent either 36 or 72 years of morphological development, starting from January 1, 2022. The simulations were generated using the open source model Delft3D. The data outputs were designed to explore the potential limiting effects of wave height and tidal range on delta formation. The results demonstrate that large enough combinations of these processes may prevent deltas from forming. Also included in the dataset are input files necessary to run the model code, and animations showing various processes over time in addition to bathymetry. The outputs were generated under the Natural Environment Research Council (NERC) Envision Doctoral Training Partnership (grant number: NE/S007423/1).", "keywords": "oceans, geoscientificInformation", "publicationState": "citable", "dataPublishedTime": "2024-06-07T17:57:24", "doiPublishedTime": "2024-06-07T17:57:24", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43025/?format=api", "dataPath": "/bodc/nfe240101", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2633969823121, "numberOfFiles": 10847, "fileFormat": null }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11807/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13145/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204438/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43029, "uuid": "8ea2c697ee53430a84825384bfdcf06a", "title": "ForestScan Project : Terrestrial Laser Scanning (TLS) of FBRMS-02: Station d’Etudes des Gorilles et Chimpanzés, Lopé National Park, Gabon 1ha plot LPG-01, June to July 2022", "abstract": "Terrestrial laser scanning (TLS) was conducted at three ForestScan 1ha (100m x 100m) Forest Biomass Reference Measurement Site (FBRMS) plots in Gabon from June to July 2022 by Cecilia Chavana-Bryant using a Riegl VZ-400i scanner. Data collection assistance was provided by Heddy O. Milamizokou Napo, Luna Soenens, Virginie Daelemans and Löic Makaga, data processing assistance was provided by Mr Peter Vines. This data collection was part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates.\r\n\r\nScans were acquired using chain sampling at 121 locations along a 10m Cartesian grid to ensure sufficient data overlap to produce high-quality point clouds for all ForestScan 1ha FBRMS plots. Due to the scanner's 100° field of view, capturing a complete sample of the scene at each scan location required two scans -an upright scan and a tilt scan. Upright scans are odd-numbered while tilt scans are even-numbered. The first scan at each plot is collected at the southwest corner, i.e. scan position 0,0 (unless something impedes it, e.g. stream, large tree fall, etc. or if the plot is oriented differently). To facilitate scan registration, five retro-reflective targets were located between scan positions with all tilt scans along the first sampling line were oriented towards the same sampling position along the next sampling line and tilt scans at the ends of sampling lines (i.e. tilt scans along plot edges) were oriented towards the inside of the plot. This aids scan registration as it allows tilt scans to capture the previous scan location within its field of view. A total of 242 scans were collected at each plot.\r\n\r\nThe Riegl operating and processing software RiSCAN PRO version 2.14.1 was used to generate a plot-level point cloud, scans were coarse registered using the shared retro-reflective targets located between consecutive scan positions. Coarse registration was then fine-tuned using Multi Station Adjustment 2 (MSA2).\r\n\r\nData for each of the four FBRMS plots is found within plot directories: LPG-01, OKO-01, OKO-02 and OKO-03. Plot directories contain a main project directory (named using the starting date of data collection, e.g. 2022-06-24_LPG-01.PROJ) with nine data subdirectories and a tile_index.dat file as shown in the archived document /neodc/forestscan/data/gabon/lope/TLS_lope_2022/LPG-01/ForestScan_example_data_directory_structure.pdf which details the data structure shared by all FBRSM plot TLS datasets.", "keywords": "ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Terrestrial LiDAR Scanning (TLS), Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Above Ground Biomass (AGB) estimates, Carbon estimates, Forest structure, Tree segmentation, 3D tree structure, Field protocols", "publicationState": "citable", "dataPublishedTime": "2025-03-27T13:56:11", "doiPublishedTime": "2025-03-28T16:55:07.867984", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43562/?format=api", "dataPath": "/neodc/forestscan/data/gabon/lope/TLS_lope_2022/LPG-01/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1066178163790, "numberOfFiles": 424132, "fileFormat": "Terrestrial LiDAR scanner data in csv, point cloud and Riegl Proprietary raw data format. 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21 kilo annum before present (ka BP)) and the Penultimate Glacial Maximum (PGM; 140 ka BP), as used in the publication Patterson et al., 2024 (https://doi.org/10.5194/cp-2024-10) These data were used to help understand the difference between the North American Ice Sheet at the last two glacial maxima, explore the sensitivity of the ice sheet to uncertain model parameters and understand the role of orbit, greenhouse gases and initial conditions on the final ice sheet configurations. The output of 62 ensemble members varying climate and ice sheet model parameters for each of the LGM and PGM are included as well as the results of 8 sensitivity tests using one set of parameters but varying the initial ice sheets and climates. These simulations were created using the atmospheric general circulation model FAMOUS coupled to the Glimmer ice sheet model under LGM and PGM climate boundary conditions, including greenhouse gas concentrations and orbital parameters outlined in the PMIP4 protocols (Kageyama et al., 2017 and Menviel et al., 2019).\r\n\r\nThe model inputs include ancillary files of the prescribed sea surface temperature and sea ice fields and climate model boundary conditions, netCDF files of the ice sheet model initial condition as well as the model configuration file and updated model modifications. The outputs consist of netCDF files of monthly climate model variables from ‘Not Ruled Out Yet’ ensemble simulations, ice sheet model output from the final timestep of all ensemble simulations (including ice sheet thickness, topography, surface mass balance and velocity) and final ice sheet thickness from the sensitivity tests. Also included are excel spreadsheets of the time series of total ice volumes for all ensemble members and the list of parameter combinations used for each. The climate model data has global coverage on a 7.5x5 degree lat/lon grid. The ice sheet model data covers North America and Greenland on a Lambert Azimuthal Equal Area projection at 40x40km resolution. Each simulation was run for ~1000 climate model years, with the ice sheet model running at 10x acceleration, giving ~10,000 years of ice sheet model output.", "keywords": "Last Glacial Maximum, Penultimate Glacial Maximum, Ensemble, Uncertainty Quantification, FAMOUS-Ice, Glimmer", "publicationState": "citable", "dataPublishedTime": "2024-07-18T08:51:18", "doiPublishedTime": "2024-07-18T10:52:43.833171", "updateFrequency": "notPlanned", "status": "pending", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43062/?format=api", "dataPath": "/badc/deposited2024/Famous-Glimmer_data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 138407167187, "numberOfFiles": 551, "fileFormat": "net-CDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11811/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4568/?format=api", "nonGeographicFlag": false, "phenomena": [ 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The Glimmer model output data every 10 years over the 10000 ice sheet year simulations in a netCDF file and the final timestep of the 4 variables (thickness, topography, velocity and surface mass balance) was extracted. FAMOUS output a data field every month over the 1000 climate year simulations which were converted to netCDF format and concatenated into timeseries data. The data were then archived at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13147/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43091/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204500/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32054/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43054, "uuid": "a798f69cb13e4c219e735f96a7c33faa", "title": "OpenCLIM - Urban Flood Impacts : 1km gridded outputs for five GB cities", "abstract": "This dataset contains output datasets from the OpenCLIM_UrbanFlood Workflow. These runs were part of the NERC funded OpenCLIM (Open CLimate IMpacts modelling framework) project. This data can be used for the continued analysis of climate impacts and for comparison with future studies.\r\n\r\nThe data has been generated using the OpenCLIM_UrbanFlood workflow available on DAFNI (https://www.dafni.ac.uk/) and focuses on the cities of Newcastle, Norwich, Bath, Inverness and Swansea. The workflow was run for five cities across GB to analyse changes in flood risk for a large range of urban and climate futures. The workflow uses output datasets from the Urban Development Model (described below) to generate future urban landscapes. \r\n\r\nA second model transformed the population density data into new urban form maps including building footprints. Passed through the 2-D hydrodynamic model CityCAT, a range of future storm events with varying intensities were modelled to capture changes in flow and water depths across the domain. Damages incurred as a result of flood waters were calculated and aggregated to the 1km grid level along with the number of commercial and residential buildings affected. The code for each model in the workflow is available within the OpenCLIM GitHub repository (linked in Related Documents).\r\n\r\nThe Urban Development Model (Newcastle University) presents plausible realisations of future urban change. These are initiated from the 2017 Ordnance Survey urban-rural land use ('UDMbaseline') and projected into the future using attractors and constraints based on the UK's Shared Socio-ecconomic Pathways (SSPs).", "keywords": "CityCAT,Urban Flooding,OpenCLIM,Urban Form,Climate Change", "publicationState": "citable", "dataPublishedTime": "2024-08-19T15:47:52", "doiPublishedTime": "2024-08-28T12:39:07", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43126/?format=api", "dataPath": "/badc/deposited2024/OpenCLIM_UrbanFlood_Model/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21107940992, "numberOfFiles": 894, "fileFormat": "Files are BADC-CSV and TIFF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11813/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4569/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85585/?format=api" ], "dataLineage": "Five cities across GB were modelled using the OpenCLIM_UrbanFlood Workflow. Models in the workflow include the Urban Development Model, which generates new urban form based on projected population / density change, and the CityCAT model, a high resolution, 2-D flood model. The workflow generates maps of urban flood risk for a wide range of future scenarios.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13179/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41636/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204759/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43055/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43056, "uuid": "7c95469ae2b7454cb389fc18ff5ce26b", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 09.1", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v09.1 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which these data were used to develop are fusions of scatterometer (i.e. active remote sensing) and radiometer (i.e. passive remote sensing) soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI, Ancillary", "publicationState": "citable", "dataPublishedTime": "2024-10-03T15:36:47", "doiPublishedTime": "2024-10-15T10:37:43", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43057/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v09.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1751588, "numberOfFiles": 6, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75129/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13196/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/41613/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204535/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43087, "uuid": "a784eeb9287b43bcb63ccae59e6af82e", "title": "EOCIS: Daily land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product, version 4.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st May 2016 and continues until 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the UK Earth Observation Climate Information Service (EOCIS) and is based on development funded under ESA CCI with additional funding from NCEO. The EOCIS dataset includes and continues the CCI v4 CDR (currently under development).", "keywords": "land surface temperature, EOCIS, SLSTR", "publicationState": "citable", "dataPublishedTime": "2025-01-23T11:47:32", "doiPublishedTime": "2025-01-23T12:12:45", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43350/?format=api", "dataPath": "/neodc/eocis/data/global_and_regional/land_surface_temperature/SENTINEL3A_SLSTR/L3C/0.01/v4.00/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3263133501777, "numberOfFiles": 6165, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11993/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2896/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75126/?format=api" ], "dataLineage": "The data record has been produced by the University of Leicester as part of the UK Earth Observation Climate Information Service (EOCIS) project and is based on development funded under ESA CCI with additional funding from NCEO. The EOCIS dataset includes and continues the CCI v4 CDR (currently under development).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13228/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204580/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43392/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43088, "uuid": "fc0bc3d5887d441296091a8025f8f45d", "title": "EOCIS: Daily land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product , version 4.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3B. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel 3B equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRB achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 17th November 2018 and continues until 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the UK Earth Observation Climate Information Service (EOCIS) and is based on development funded under ESA CCI with additional funding from NCEO. 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The EOCIS dataset includes and continues the CCI v4 CDR (currently under development).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13227/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204591/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43394/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43090, "uuid": "bf535053562141c6bb7ad831f5998d77", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2015, 2016, 2017, 2018, 2019, 2020 and 2021, v5.01", "abstract": "This dataset comprises estimates of forest above-ground biomass for the years 2010, 2015, 2016, 2017, 2018, 2019, 2020 and 2021. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXA’s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. \r\n\r\nThis release of the data is version 5. Compared to version 4, version 5 consists of an update of the three maps of AGB (aboveground biomass) for the years 2010, 2017, 2018, 2019, 2020 and new AGB maps for 2015, 2016 and 2021. New AGB change maps have been created for consecutive years (2015-2016, 2016-2017 and 2020-2021), alongside an update of change maps for years 2010-2020, 2017-2018, 2018-2019 and 2019-2020, and for a decadal interval (2020-2010). The pool of remote sensing data now includes multi-temporal observations at L-band for all biomes and for all years. The AGB maps rely on revised allometries which are now based on a longer record of spaceborne LiDAR data from the GEDI and ICESat-2 missions. Temporal information is now implemented in the retrieval algorithm to preserve biomass dynamics as expressed in the remote sensing data. Biases between 2010 and more recent years have been reduced.\r\n\r\nThe data products consist of two (2) global layers that include estimates of:\r\n1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots\r\n2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)\r\n\r\nAdditionally provided in this version release are new aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).\r\n\r\nIn addition, files describing the AGB change between two consecutive years (i.e., 2015-2016, 2016-2017, 2018-2017, 2019-2018, 2019-2020, 2020-2021) and over a decade (2020-2010) are provided (labelled as 2015_2016, 2016_2017, 2017_2018, 2018_2019, 2019_2020 and 2020_2010). Each AGB change product consists of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.\r\n\r\n\r\nData are provided in both netcdf and geotiff format.\r\n\r\nThis version represents an update of v5.0 which was missing a number of tiles covering islands on the Pacific and Indian Ocean and one tile covering Scandinavia north of 70 deg latitude.", "keywords": "ESA, CCI, Biomass", "publicationState": "citable", "dataPublishedTime": "2024-07-29T13:22:41", "doiPublishedTime": "2024-08-22T16:15:08", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43092/?format=api", "dataPath": "/neodc/esacci/biomass/data/agb/maps/v5.01/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 663753419014, "numberOfFiles": 8978, "fileFormat": "Data are netCDF and geotiff formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11655/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75121/?format=api" ], "dataLineage": "Data was created by the Biomass CCI team.\r\n\r\nThis version represents an update of v5.0 which was missing a number of tiles covering islands on the Pacific and Indian Ocean and one tile covering Scandinavia north of 70 deg latitude.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13174/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/29954/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204612/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/41622/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2542/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_biomass_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] } ] }